norse
SNN framework
Deep learning framework for spiking neural networks
Deep learning with spiking neural networks (SNNs) in PyTorch.
685 stars
16 watching
84 forks
Language: Python
last commit: 9 months ago
Linked from 1 awesome list
autograddeep-learninggpumachine-learningneural-networkneuromorphicpytorchpytorch-lightningspiking-neural-networkstensor
ethicalml/awesome-production-machine-learningRelated projects:
| Repository | Description | Stars |
|---|---|---|
 synsense/sinabs | A deep learning library for training and deploying spiking neural networks using PyTorch. | 83 |
 basbuller/pysnn | A framework for building and simulating efficient spiking neural networks on GPU | 220 |
 jeshraghian/snntorch | A Python package for training spiking neural networks with gradient-based learning | 1,383 |
| synsense/rockpool | A Python library for building and deploying signal processing applications with spiking neural networks on various hardware platforms. | 55 |
 graal-research/poutyne | A PyTorch framework simplifying neural network training with automated boilerplate code and callback utilities | 572 |
 jingweiz/pytorch-dnc | An implementation of Neural Turing Machine and Differentiable Neural Computer architectures using PyTorch and Visdom for deep learning tasks. | 278 |
 bindsnet/bindsnet | A software package for simulating spiking neural networks using PyTorch. | 1,517 |
 ramon-oliveira/aorun | A deep learning framework on top of PyTorch for building neural networks. | 61 |
 namisan/mt-dnn | A PyTorch package implementing multi-task deep neural networks for natural language understanding | 2,238 |
 achaiah/pywick | A PyTorch-based neural network training framework with advanced features and utilities | 398 |
 l0sg/relational-rnn-pytorch | An implementation of DeepMind's Relational Recurrent Neural Networks (Santoro et al. 2018) in PyTorch for word language modeling | 245 |
 dyhan0920/pyramidnet-pytorch | An implementation of a deep neural network architecture for image classification tasks | 273 |
 snap-stanford/distance-encoding | A deep learning framework designed to improve the performance of Graph Neural Networks (GNNs) through distance encoding techniques. | 184 |
 sinkingsugar/nimtorch | A Nim frontend for PyTorch, generating native ATen code for machine learning and artificial neural networks | 464 |
 4uiiurz1/pytorch-res2net | Implementations of deep learning architectures using PyTorch for image classification tasks on various datasets. | 112 |